Insights into the thermodynamic efficiency of Homann-Agrawal hybrid nanofluid flow

In this study, we investigate the characteristics of axisymmetric Homann and Agrawal flows over a stretching and spiraling surface at the stagnation point flow. The effects of uniform rotation and linear radial stretching of the disk are considered, along with the utilization of hybrid nanofluids. Specifically, titanium oxide and multi-walled carbon nanotubes are dispersed in engine oil to form the nanofluid. The surface velocity adopts a spiral logarithmic shape due to the combined influence of uniform rotation and radial stretching, while a perpendicular magnetic field is applied to the flow. Furthermore, we analyze the entropy generation of the hybrid nanofluid flow. To solve the problem, we employ a similarity transformation technique to convert partial differential equations (PDEs) into ordinary differential equations (ODEs) and utilize the bvp4c technique available in MATLAB. Graphical representations are employed to illustrate the impact of relevant parameters. This analysis yields valuable insights into the thermodynamic efficiency of fluid flow systems, enabling optimization of their design and performance. Understanding the influence of nanoparticle concentration and flow parameters on system efficiency is of utmost importance in developing more effective and efficient fluid flow systems. The study offers crucial insights applicable to a wide range of engineering applications, including heat exchangers, cooling systems, and other fluid flow systems.

Automated summary

This study investigates the characteristics of axisymmetric flows over a stretching and spiraling surface, considering the effects of uniform rotation, linear radial stretching, and hybrid nanofluids. The use of similarity transformation and MATLAB techniques enables the analysis of entropy generation and parameter impacts. These insights are crucial for optimizing fluid flow systems and understanding the influence of nanoparticle concentration and flow parameters on system efficiency.